{
 "metadata": {
  "name": "",
  "signature": "sha256:72635095c8d080adadd737a2016ea9326e88dff7eb0af62e35b5077d828d1b54"
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 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%load_ext autoreload\n",
      "%autoreload 2"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#Sacramento Reach Fitting Example\n",
      "\n",
      "This notebook shows the end-to-end reach fitting machinery using simulated SWOT data for the Sacramento River. It illustrates how to use the width data\n",
      "stored in a database to restrict the maximum width separately at each river node. It also illustrates how to refine the centerline if the centerline does not match the data.\n",
      "\n",
      "This example illustrates using the output of the SWOT L2 data (i.e., water file) without any supplementary classification information, so that the true water classification, rather than the estimated water classification is used.\n",
      "\n",
      "Below are the Python modules developped for fitting SWOT data over the each:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import numpy as N\n",
      "from SWOTRiver import SWOTL2\n",
      "from RiverObs import ReachExtractor\n",
      "from RiverObs import RiverObs\n",
      "from RiverObs import FitRiver\n",
      "from RiverObs import WidthDataBase\n",
      "from RiverObs import IteratedRiverObs"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The following imports are for notebook plotting:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%pylab inline\n",
      "rcParams['font.size'] = 14\n",
      "\n",
      "# This is optional, but it allows zooming and panning of figures\n",
      "# Uncomment the block below if you want this feature\n",
      "\n",
      "#try:\n",
      "#    import mpld3\n",
      "#    mpld3.enable_notebook()\n",
      "#    print 'Interactive plotting enabled'\n",
      "#except:\n",
      "#    pass"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Populating the interactive namespace from numpy and matplotlib\n"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# This is the file for the width data base\n",
      "\n",
      "#width_db_dir = '/Volumes/Reservoir/Data/GWD-LR/nAmerica_GRWDL/'\n",
      "width_db_dir = '../../data/'\n",
      "width_db_file = width_db_dir+'nAmerica_GRWDL.h5'\n",
      "\n",
      "# This is the SWOT data\n",
      "\n",
      "#data_dir = '/Volumes/Reservoir/Data/SWOT/'\n",
      "data_dir = '../../data/examples/'\n",
      "l2_file = (data_dir + 'simulated_swot_test_data.nc')\n",
      "\n",
      "# This is the file for the reach data base\n",
      "\n",
      "db_dir = '../../data/nAmerica_GRWDL_river_topo/'\n",
      "shape_file_root = db_dir+'nAmerica_GRWDL_river_topo'"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "For this example, only data with classification=1 labels are used (pure water pixels) and the latitude and longitude are assumed to be known from the reference interferogram."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "class_list=[1]\n",
      "lat_kwd='no_layover_latitude'\n",
      "lon_kwd='no_layover_longitude'\n",
      "\n",
      "l2 = SWOTL2(l2_file,class_list=class_list,lat_kwd=lat_kwd,lon_kwd=lon_kwd)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Dataset opened\n",
        "Good data selected & bounding box calculated.\n",
        "lat/lon read\n",
        "projection set and x,y calculated\n"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The heights to be used are the noisy height and the water_height, the true height weighted by the radar response."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "h = l2.get('height')\n",
      "htrue = l2.get('water_height')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 6
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#Extract the river reaches overlapping the data bounding box\n",
      "\n",
      "In this case, the reaches are from the North America Global River Width Database for Large Rivers. The data were made by [Tamlin Pavelsky](mailto:pavelsky@unc.edu) and [George Allen](mailto:georgehenryallen@gmail.com) and modified by [Ernesto Rodriguez](mailto:ernesto.rodriguez@jpl.nasa.gov) so that reaches appeared as topologically connected. The results are in the shapefile *nAmerica_GRWDL_river_topo.shp*.\n",
      "\n",
      "The next step scans through the database and finds all of the overlapping reaches in the data base (only one is found). A small buffer of about 2km is placed about the data bounding box to make sure the river is not cut."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "clip_buffer = 0.02\n",
      "reaches = ReachExtractor(shape_file_root, l2,clip_buffer=clip_buffer)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 7
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The following step prints out the reach index and metadata:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print 'Reach indexes:',reaches.reach_idx\n",
      "print 'Metadata:'\n",
      "reaches[0].metadata"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Reach indexes: [704]\n",
        "Metadata:\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 8,
       "text": [
        "{'break_idx': 1388940,\n",
        " 'latmax': 40.03200149536133,\n",
        " 'latmin': 38.16350173950195,\n",
        " 'lonmax': -121.5009994506836,\n",
        " 'lonmin': -122.11900329589844,\n",
        " 'npoints': 10144,\n",
        " 'reach': 375745.03125,\n",
        " 'reach_idx': 704,\n",
        " 'width_max': 532.0,\n",
        " 'width_mean': 115.74655151367188,\n",
        " 'width_min': 30.0,\n",
        " 'width_std': 52.802425384521484}"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#Extract the width information for this reach from the width database"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "width_db = WidthDataBase(width_db_file)\n",
      "\n",
      "max_width = width_db.get_river(reaches.reach_idx[0],\n",
      "                                      columns=['width'],\n",
      "                             asarray=True,transpose=False,\n",
      "                             bounding_box=l2.bounding_box,\n",
      "                             clip_buffer=clip_buffer)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print 'max_width length:',len(max_width)\n",
      "print 'x length:',len(reaches[0].x)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "max_width length: 1882\n",
        "x length: 1882\n"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#Look at where the centerline lies with respect to the data\n",
      "\n",
      "From this figure, it is clear that the centerline and the SRTM water mask align well in many places, but can have disagreements that are significant compared to the width."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "figsize(8,8)\n",
      "plot(l2.x/1.e3,l2.y/1.e3,'k.',alpha=0.05)\n",
      "scatter(reaches[0].x/1.e3,reaches[0].y/1.e3,\n",
      "        c=max_width,\n",
      "        edgecolor='none',alpha=0.4,\n",
      "        vmin=0,vmax=300)\n",
      "xlim(-5,5 )\n",
      "ylim(-10,10)\n",
      "colorbar(label='Width');"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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XeLfL8bEEkvNiYHWP1yQAdwF3aq3XdblOMXAJ8EFf30VPkrhFn5g1axbff+D7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\nNBw5RtVr/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CYP+D6n79t+DvhrrXVPXIIQQgghLkAp9QXgIWAyUAX8f6lUgCVuiVsIIYQQ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\nkriFEEKIFPL/A/ohnryuKZjSAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10d1700d0>"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "**Caption**: In the observations above, the measurement locations are black pixels, while the centerline is in color, width the color representing the estimated width. Notice that the river meanders significantly (i.e., by more than the estimated width) away from the centerline. Notice also that the estimated width does not seem to agree well with the data point distribution."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#Refining the centerline and associating a width to it\n",
      "\n",
      "Use IteratedRiverObs to refine the centerline and resample the width to the new centerline. Note that the parameter `scalar_max_with` is set large, since a significant number of points are far away from the guessed centerline."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# First step, initialize observations\n",
      "\n",
      "scalar_max_width = 600.\n",
      "\n",
      "ds = 50.\n",
      "minobs = 10\n",
      "river_obs = IteratedRiverObs(reaches[0],l2.x,l2.y,\n",
      "                         ds=ds,max_width=scalar_max_width,minobs=minobs) "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Centerline initialized\n",
        "Local coordiantes calculated"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n"
       ]
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Plot the distribution of distances to the input centerline:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "figsize(10,5)\n",
      "subplot(1,2,1)\n",
      "hist(river_obs.d,bins=100,log=False)\n",
      "xlabel('Distance to node (m)')\n",
      "ylabel('N observations')\n",
      "grid();\n",
      "subplot(1,2,2)\n",
      "hist(river_obs.n,bins=100,log=False)\n",
      "xlabel('Normal coordinate (m)')\n",
      "ylabel('N observations')\n",
      "grid()\n",
      "tight_layout();"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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HDiG76lEn/tFkUwC9E9gZWAlcIWmjwuucSna50P2B3cnmz7xU0sDba2ZWJ0Pu\ng82mEAzzBHGzUeq3BvgZZD+5vZnsJ7gfk9WgfSYiflFaMtIlwD0RcXBh2TnAMyJi3/wnwDuAj0XE\nifn69ckGwUdFxJmSNskfj0XE+XmbLYGfA6+KiMsLr+0SCDMbSEU1wCPpg0fNJRDpmL7soXi/6vVr\ntvU+1hxl9r/r9Nnul8A9wOeAwyPi+jKC9/AV4GhJ20bEzXlpw55kRzoAtgbmAU8NYiPiUUlXA7sA\nZwI7Aet2tVkh6aa8zVPLzcwSMao+2MysFaYtCcjLBo4CXhAR7xlmxxsRHwc+A9wk6THgh8DZEfHv\neZP5+b93dT11ZWHdfOCJiLi3q81dZIPnyrWtZtJxHbdJcUdtlH2wTS+1/S61fFOV4vucYs5l6vcI\n8MlkR2fvH2IuSDoMOJisdnc5sANwmqSJiPjUNE+f0W8cY2NjLFiwAIC5c+eycOHCrhbjwOLC/W4z\nX9/Z+RYvXjySx8uWLRtpvO4Pl7fX25vi9nbuT0xMUKGR9MFmZm3Rbw3wD4G3RcS1Q01Guovssp5L\nCsveR1bP+weStgF+AuwcEdcV2nwJWBkRB0vaC7gS2Lx4FFjScuDzEXFCYVklNcBFrk0yS0tFNcAj\n6YNHzTXA6XANsNVBFdOg/T3wUUk7aLhzoAh4smvZk6weNd4G3Ans/dQTspPgdgOuyRddBzze1WZL\nYLtCm4r5TFozG8io+mAzs1bodwD8eeCPyQaXv5H0QOFW5k9y/w38g6RXS1og6bXAu4ELIZsHk2yK\ns6MlvVbSi4CzgQeAz+Zt7gPOAk6S9HJJOwDnATeQHRmugfFqorasVtNxHbdBRtUH2zRS2+9SyzdV\nKb7PKeZcpn5rgN811CxWezdZjdvpZCes/ZJsZocPdBpExEmSNsjbbAp8C9g7Ih4qvM4RwG+BC4AN\nyAa+b/FvbWaWqFH1wWZmrdD3pZCbqLoa4NXL2vz+m6WoqkshN5FrgNPhGmCrg0ouhSxpvqS/l/QJ\nSc/Ml+0maesyEjEzs8m5DzYzK09fA2BJOwE3AwcA/4fs0sIArwT+eTipNdl4NVFbVqvpuI7bFO6D\n6yO1/S61fFOV4vucYs5l6vcI8L8Bp0XEDsCjheWXkc3AYGZmw+M+2GyGJD11M+vodx7g+4GFEfEz\nSQ8Af5Tf3xr4cUSsN+xEh6EONcBFrlMyq7+K5gFuVR9s9ZNyDbDPu2mOKmqAHwGe0WP5tmSXIbYZ\n85zAZjZax3JsAAAgAElEQVQt98FmZiXqdwB8EfD+/KITAORHHk4CvjiMxJptvJqoLavVdFzHbRD3\nwTWR2n6XWr6pSvF9TjHnMg1yJbhNgbuB3wW+QXZJ4lXAccNJzczMcu6DzcxK1Pc8wPnlN/cEdiIb\nOH8/Iq4YYm5DV48aYNcmmaWkqnmA29QHW/24BtjqoMz+d8YXwpC0bkQ8XkYSVfEA2MwGVZcLYTS5\nD7b68QDY6mDkJ8FJOlzS6wqPPwU8KukWSduWkUi7jFcTtWW1mo7ruE3hPrg+UtvvUss3VSm+zynm\nXKZ+a4API6s9Q9IewOvJJmS/nmx+SjMzGx73wWZmJep3HuBHgOdHxP9K+lfgmRFxsKQXAN+IiM2G\nnegwuATCzAZV0TzAreqDrX5cAmF1UMU8wPcD8/L7rwSuyu//Fli/5zPMzKws7oPNzErU7wD4cuCT\nks4Cfh/4Sr58e+C2YSTWbOPVRG1ZrabjOm6DuA+uidT2u9TyTVWK73OKOZep3wHwO8nmnXwm8LqI\nuDdfvhPw2WEk1ka+VrmZTcJ9sFkJOt+z/q61GU+D1gR1qwHurG/z38Ss7uoyDVoTuAY4HU2pAXY9\ncNrK7H/XGSDoBsCbyH5yA7gJ+GxEPFJGImZmNjn3wWZm5el3HuAdgZ+STbfzx8CfAP8K/EzSTsNL\nr6nGq4naslpNx3XcpqiiD5Z0jKQnJS3pWn68pNslPSxpqaTtu9avJ2mJpLslPSjpIklbDCPHKqS2\n36WWb6pSfJ9TzLlM/dYAn0lWf7ZlROwREbsDWwFXA2cMKzkzMwNG3AdLeinwNuBGVv9mjKSjgSPJ\napJ3BlYCV0jaqPD0U4H9gP2B3YGNgUsl9ft9YzYSrgVut0HmAX5JRCzvWv5C4LqISHIaHtcAm9mg\nKpwHeCR9sKRNgOuAvwGOB34QEYcp6xjvAD4WESfmbdcnGwQfFRFn5s9dCYxFxPl5my2BnwOviojL\nu2K5BjgRTawB9ndueqqYB/hm4Dk9lj87X2dmZsMzyj74TOALEfE1slFCx9ZkcxE/NYiNiEfJjkLv\nki/aCVi3q80KsnrlXTAzq4lJB8CSntG5Ae8DPibpTZIW5Lc3kf3U9b5RJdsc49VEbVmtpuM6bsqq\n6IMlvQ3YBjguX1Q8NDY///eurqetLKybDzxRmKat4y5WX8gjaantd7PN12UC/Ultv4A0cy7TVLNA\n3NNj2Wd6LLsImFNOOmZmlhtpHyxpW+Cfgd0i4onOYtY8CjwZ/4bcaJ1SArPmmGoAvNfIsmidxdVE\nXey4juu4CRl1H7yI7EIbywtH/OYAu0v6W+BF+bJ5wIrC8+YBd+b37wTmSNqs6yjwfLJSibWMjY2x\nYMECAObOncvChQuf+tt2jlDV7XFHXfIpO98999yT3sanedy9rKr1i2e0fjbv9+LFi2vz9+73cWdZ\nXfLp9XjZsmWsWrUKgImJCcrkC2H4JDgzG0BTL4SRn8BWnK5MwKeBW4APk9Xx3g4s6ToJ7i6yk+A+\nOc1JcPtExBVdMX0SXA31PuHNJ8FZ9ao4CQ5J8yV9UNIXJX1B0gmSSq/pkvRsSedIWinpEUnLJe3R\n1SbxeSjHq4naslpNx3XcJhl2HxwR90XEjwq35cDDwK/zx0FWc3y0pNdKehFwNvAA+eWYI+I+4Czg\nJEkvl7QDcB5wA3BlWblWKbX9LrV8U5Xi+5xizmXq90IYuwK3kl2F6GHgN8BbgFsllXZmr6S5wDfJ\n/lv2amA7svkmVxbaeB5KM2uVUfXBPQSF+t6IOAk4BTgd+C5Z+cPeEfFQ4TlHABcCF5DNXXw/sK8P\n9ZpZnfQ7D/C1wA+Av4uIJ/Nlc4BPAC+KiFI6YEkfBnbPJ3nvtb7UeShdAmFmg6poHuCR9MGj5hKI\nenIJhNVVFSUQC4F/63S8APlZwqcAO5aRSO41wHckXSDpLknXSzq0sL4V81B2pp3x1DNmlhtVH2xm\n1gr9DoDvI5sbstsCYFVp2WQxDgF+AuwNnAb8S2EQ3JB5KMenWb/Gr47lRW1ZrabjOm6DjKoPtmmk\ntt+llm+qUnyfU8y5TFNNg1b0OeAsSe8lq9EF2A34CHB+ifk8DfhORHQmdr9B0h8Ah5LVnE1lRiPG\nXlPwrGmcmU6pUsb6MqcoWbZs2ayeP6opeLy93t46bW/nftlT8AxoVH2wmVkr9FsDvB5wEvB3ZOUF\nAI+R1Z8dHRGPlZKMNAFcHhFvLyw7EPhERGwkaRuyo8M7R8R1hTZfAlZGxMGS9iI723jz4lFgScuB\nz0fECYVltawBLi5zbZJZvVRUAzySPnjUXANcT64BtroaeQ1wRPwmIg4HnkFWi7YQ2Cwi3l1yx/tN\nspkfip4PTOT3byObaH3vzsr8JLjdgGvyRdcBj3e12TJ/3U4bM7NkjLAPNjNrhYGmBYuIhyLixvz2\n0PTPGNgpwEslHSvp9yW9HngXeflDc+ahHK8mastqNR3XcZtmBH2wTSO1/S61fFOV4vucYs5l6rcG\neCQi4nuSXkN21aF/JJu67LiI+EShzUmSNiAbFG8KfIve81D+lmweyg3IBr5v8W9tZmZmZuZLIbsG\n2MwG0NRLIVfBNcD15Bpgq6tKLoVsZmZmZtYEHgBXYryaqC2r1XRcxzUrW2r7Xb/5+gJMs5PafgFp\n5lymKWuAJT2jnxeJiF+Vk451K3ZG/pnGrF3cB9toFcsDzJptyhpgSU9OunK1iIg55aU0OinUALse\n2KxeRlkD3NY+2Eavd91v8b5rgK16Zfa/080CsdckywPYh2y2hcfLSMTMzNbiPtjMbAimrAGOiPHu\nG3A/2RRlRwL/D/i94afZNOPVRG1ZrabjOm7q3AfXT2r7XWr5pirF9znFnMvU90lwkraRdD7wHeBe\nYPuIeFdE3D207MzMDHAfbGZWpmnnAZb0TLKjDX9HdqnioyPiuyPIbehcA2xmgxr1PMBt7INt9FwD\nbCkY2TzAko4DfgosBl4TEXs1peM1M6s798FmZsMxXQnEB4B1gRXAIZIulnRJ1+3i4ac5fKOdA3F8\nBDF6RG1ZrabjOm4DtKYPTkVq+11q+aYqxfc5xZzLNN0sEOcy/cSADfrtwHMgmlmttKwPtlHzhS+s\nraatAW6yYv3ZzK597hpgs7YZdQ1wk7kGuHqzO+dlpm1dA2wzM7IaYDMzMzOzpvEAuBLj1URtWa2m\n4zquWdlS2+9SyzdVKb7PKeZcpulqgM3MzMwaq1gH7XKI9nANsGuAzWwArgEuj2uAq+caYH/PpsQ1\nwGZmZmZmM+QBcCXGq4naslpNx3Vcs7Kltt+llm+qUnyfU8y5TB4Am5mZmVmruAY4oRrgjjb/zcyq\n5hrg8rgGuHquAXYNcEpcA9xa/mCamZmZzZYHwJUYn9WzJT11Gyhqy2o1HddxzcqW2n6XWr6pSvF9\nTjHnMnkAnKTAR4PNzMzMZsY1wEnVALteyaxqrgEuj2uAq+caYH+npqQVNcCSjpH0pKQlXcuPl3S7\npIclLZW0fdf69SQtkXS3pAclXSRpi9Fmb2ZmZmZ1VcsBsKSXAm8DbqTwW7+ko4EjgXcCOwMrgSsk\nbVR4+qnAfsD+wO7AxsClkmq0rePVRG1ZrabjOq5Z2VLb71LLN1Upvs8p5lymGg0KM5I2Af4DOBj4\ndWG5gCOAEyPiwohYDhwEPB04oPDctwJHRcRVEXE9cCDwYuAVI90QMzMzM6ul2tUAS7oA+FlEHCNp\nHLgxIg6TtA3wE2DniLiu0P5S4J6IGJO0F3AlsHlE3Fto80PgPyPi+K5YrgE2s4G4Brg8rgGunmuA\n/Z2akjL733XKeJGySHobsA35EV3WnOpgfv7vXV1PWwk8p9DmieLgt/CceSWmWhvFqdD8wTUzs+kM\nOoWmWRPVpgRC0rbAPwNvjognOovz23QSG/mNl/ha/U+J1rZaTcd1XLOypbbfTZ6vp9PsJbV59mcj\nxZzLVKcjwIuAZwLLCzveHGB3SX8LvChfNg9YUXjePODO/P6dwBxJm3UdBZ4PXN0r6NjYGAsWLMgf\nnQos7GoxDiwu3O9Wn/WdnXnx4t6Ply1bNuX6YT1+KtMRxfP2envL3r7x8XEmJiYws6YrlkhYk9Wm\nBjg/ga04XZmATwO3AB8GbgJuB5ZExIn5c9YnK284KiI+mb/GSmAsIs7P22wJ/BzYJyKu6IqZfA2w\na5fMRss1wOVxDXA1yvu+m2nb+tYA+zu13hpZAxwR9wH3FZdJehj4dUT8KH98KnCspB8DtwLHAQ8A\nn+28hqSzgJMkrQR+BZwM3EB2cpyZmZmZtVxtaoAnsUaRUkScBJwCnA58l6z8Ye+IeKjwnCOAC4EL\ngG8A9wP71usww3g1UVtWq+m4jmtWttT2u9TyTVWK73OKOZepNkeAe4mIPXssOwE4YYrnPAYclt/M\nzMzMzNZQmxrgKrgG2MwG5Rrg8rgGuBquAe5vvffN+mlkDbCZmZkNh+f+NVtT3WuAG2q8mqgtq9V0\nXMc1K1tq+92a+Xru30EMMh9wavsFpJlzmTwANjMzM1uL/7PQZK4Bdg2wmQ2gqTXAko4B9gOeD/wG\n+BZwTEQs72p3PPA2YFPg28Chnakq8/XrAR8F9gc2AK4CDomI23vEdA3wiPT+jiver0fdbR1z8T5a\nH2X2vz4C3DDFyzi65svMBvAy4P+SXZVzL+C3wJWSNu00kHQ0cCTwTmBnsgsPXSFpo8LrnEo2kN4f\n2B3YGLhUkr9vzKw23CFVYnzIr9+7zqtttZqO67jWv4jYJyLOiYgfRcQPgQOBzYFdAJT9j/oI4MSI\nuDA/MnwQ8HTggLzNJsBbya7OeVVEXJ+/zouBV4x8o4Ygtf0utXxTleL7nGLOZfIA2MzMetmY7Dvi\n1/njrckuPnR5p0FEPApcTT5IBnYC1u1qs4LsUvadNmZmlXMNcINqgFdzXbDZsDS1BribpM8Dvwe8\nJCJC0i5kV9d8bj6o7bT7FPCciNhH0gHAORGxbtdrXQXcEhHv6FruGuARcQ3wzNd7H60PzwNsk+h8\nmM3MZk7SyWRHbHfrc4Q64xHC2NgYCxYsAGDu3LksXLiQxYsXA6t/ovXjch6vXX5X9uPuZVWtXzyU\n9VX//dr4eNmyZaxatQqAiYkJShURrb1lm58BAiK/0fXvIOv7ec7SWT6///VFS5cujSo4ruM2KW7+\nuaq8/xrWDTgFuB14ftfybYAngZ26ln8J+HR+f6+8zWZdbZYD7+8Ra+Z/iIpUtd/NVCffsr9bhvta\n9cplkPc5JSnmXGb/6xpgMzMDQNJpwBuBvSLilq7VtwF3AnsX2q8P7AZcky+6Dni8q82WwHaFNmZJ\n8ixLzeIa4Hz7m1EDvPb6Nbcv0+a/udlsNbUGWNLpwFuA15CdtNbxQEQ8lLd5L3AscDBwK3Ac2QB4\n20KbjwP7AmPAr4CTgU3Ijhyv0fm4Bnh0XAM88/WTjRO8746ea4BthjofdjOztbyDrJO4qmv58cAH\nACLiJEkbAKeTXQjjW8DencFv7giyOYQvILsQxpXAWzzSNbM6cQlEJcZbFbdt88Q6brPjNlVEPC0i\n5uT/Fm8f6Gp3QkQ8JyI2iIg9o3AVuHz9YxFxWEQ8MyI2jIi/jB5XgUtVavtdavmmKsX3OcWcy+Qj\nwGZmZolzTerw+L1tJtcAt6oGeM16JjMbXFNrgKvgGuDyDL/Gt701wJOt9747emX2vy6BMDMzM7NW\n8QC4EuOtitu2GlHHbXZcazfvd9ZLivtFijmXyTXALeQp0czMzKzNXAPc8BrgNU1eI2xm/XENcHlc\nA1we1wCPPpb33dFzDbANIFj9gTUzMzMzD4ArMd6quG2rEXXcZse1dvN+Z72kuF+kmHOZPABuOV/T\n3MzMzNrGNcCNrwHuN+fV2rxPmE3HNcDlcQ1weVwDPPpY3ndHr7E1wJKOkfRdSfdJWinpYkkv7NHu\neEm3S3pY0lJJ23etX0/SEkl3S3pQ0kWSthjdlqTItcJmZmb98i+oaavVABh4GfB/gUXAXsBvgSsl\nbdppIOlo4EjgncDOwErgCkkbFV7nVGA/YH9gd2Bj4FJJNdne8VbFbVuNqOM2O661Wx32u87AywOw\nqq0+aFSH/WJQKeZcplrNAxwR+xQfSzoQuA/YBfiSsk/6EcCJEXFh3uYgskHwAcCZkjYB3gqMRcRV\nhdf5OfAK4PIRbY6ZmdmQTDbdpZn1o9Y1wJKeDdwO7BYR10jaBvgJsHNEXFdodylwT0SMSdoLuBLY\nPCLuLbT5IfCfEXF8YZlrgKeYG9gXzDBbm2uAy+Ma4Jnp/r6KCNcAV5iL9+HRKbP/rdUR4B5OA64H\nrs0fz8//vaur3UrgOYU2TxQHv4XnzBtGkk2z5k9qa58kZ2Zm9eEyiGpNd7DIB5PqqSY1sWuTdDJZ\n6cNf9XmIIKG9arzmccs9Ia5tNaKO2+y41m713O8S+vprpACWAkxRm12/v1E99+XRqeURYEmnAG8A\n9oyIicKqO/N/5wErCsvnFdbdCcyRtFnXUeD5wNXdscbGxliwYEH+6FRgYVeLcWBx4X63lNYvm2R9\nr/trL+t8WBYvXjzQ49k+f6aPly1bNtJ43t5mbm/n/sTEBGZmU1tdIuEj8/VWuxpgSacBrycb/N7c\ntU5kNcFLIuLEfNn6ZOUNR0XEJ/OT4FaSnQR3ft5mS7KT4PaJiCsKr+ca4FnUOPlnHWsj1wCXxzXA\nM1Pe91WZ652L64WHr7E1wJJOB94CvAa4T1Kn5veBiHgoIkLSqcCxkn4M3AocBzwAfBYgIu6TdBZw\nkqSVwK+Ak4EbyE6OW8Nuu/3ZsDerESb/n2z2ofZg2MxseHw00axcdasBfgewEXAVcEfh9p5Og4g4\nCTgFOB34Lln5w94R8VDhdY4ALgQuAL4B3A/s2+tQwze/eQjf/va6Q9mYyY2POF4ZcYt1wb1qhCev\nG25bjajjNjuutdso97u160nLPT/DyjRedQIDa3sfWqsjwBHR14A8Ik4ATphi/WPAYfltGn+GdFWf\nGZqZmY1S8Wd0MytL7WqAR0lSQLDuukfy+OOn4Brgcl6zzfuUNZ9rgMvjGuCpTT+3b/F+1eudi2uA\nh6+xNcBmZmZt53pfs+GrWw1wS4w3Om73deqr6szbVpvquGbDV+Z+N3U/6SOFaRnvq1Wvv3dV35Vt\n70M9ALYh6D5hzszMevOJbe0y2d/b+8CouQbYNcAjirlam/c5S59rgMvT9hrg7hrfteelT7fW1blM\n37bX37vNn4d+uAbYElTsCCbX/ROQOwMzawvX/raL/97VcglEJcZbFndN09c7lfOTYNtqUx3XbPiG\nu9+5HCJd4zN4ztp/71HWA7e9D/UA2Cqw+kM/3Qe9ypPozMzMRsv/CRoV1wC7BrgWOa1dC9X9/NXa\nvM9a9VwDXB7XALej1tW5zOy12vzZmIxrgK1xpj/K218NsZlZ3flXLbPquQSiEuMti9uP/n/26bcs\nom21qY5rNnzl7Xc+utcs46W/4qBz6g86/37b+1APgC1Bk39xTDfJuI+8mNmo9BrAuA+y/hUPDE3/\nvbf2c2wqrgF2DXBNc+on59Wmmk9x7Tq7NZ9jNgjXAJen6TXAs6/xbUetq3MZZP1kej1/kpYJf+Zc\nA2wGFD/ovY6qTD3NmscvZmaWmskGyP237Xw3pjwQLoNLICox3rK4o9DrZ5+lPZYNX9tqYtsW19rN\n+531Nl51AgNY/etom8tyPAC21mr7h9/MhsP9iqWhmoNEdeEaYNcA1zSn0ebc5s+BDcY1wOVpag1w\n8VyEtOpLnUtbc0nlc+gaYLOSFY/WpNIRmFl9+IivWVpcAlGJ8ZbFrcr4AG1X1xDP9ufLttXEti2u\ntUev6cuK+93aZVS9zkWwdhivOoEZGH/qXhtLAn0E2GwtnZ+H1uYjxWZtU/zpeCbrzVKwej9uyywR\nrgF2DXBNc6o+516fjV7zDFu7uAa4PHWvAe6ex7c71+HP89uM+lLnkmYuU302u48Uj+pz7BpgsxGa\n7CchHw02a582/URs7TbZvr76+644aJ7J86vlGuBKjLcsblXGZ/Xs6Wv7ei3LagSruPRp22pxXQNs\nZRrsksW9P/vWZuNVJzAD49OsL+7nq+8P9p3W+/l1qDf2EWCzSU39v9ui3h/k/p/f6zXq8r9ks/bo\n9dOwma2p8zlZW3+D2np8vlwDjGuA65lTijlP9Zx+rX5Omz+bdeYa4PLUqQa4v7l7O+pS8znKWM7F\nuUy+vvM57l0XP/lr9VtnXHz9svrfxpZASDpE0m2SHpH0PUm7VZ2TtVkU/p3svllzVNUH9yplKO/n\nVn9Ozco0/ec11mhXpkYOgCW9ETgV+BCwELgG+IqkrSpN7CnjLYtblfGk4w76Bd62WlzXANdX9X1w\n7/9o1qHu0JpqvOoEZmC8tFea+WdruoNDTLFsdho5AAaOBD4dEWdFxM0RcRjwS+AdFeeVW9ayuFVJ\n/X1e+wjxVIPhZcuq2d62xbW+lNIHD3L0tr92PoJrw5Jif1RmzuUPUIetcQNgSb8D7Ahc3rXqcmCX\n0WfUy6qWxa1KE9/ntY9mdW7vfve7hxh3cqtWVfM+VxXXpjZoH7zLLq8e6CfQ4iB3srYD5OqjwlaS\nFPujFHMuT+MGwMAzgTnAXV3LVwLzR5+O2bBMfYR4uluv9mYlGKgPvvbaA/J7/f8EOtvLD8/2+WaW\nvtZPg7bxxvvy2GPLefzxUUadGGWwGsStykTL4sIgZ+2ufdRs+kFwrzN2JyYmZp7uLFQV18r19Kef\nwwMPDPqs4r49E7N9vlm3iaoTmIGJqhOoVOOmQct/fnsI2D8ivlhYfjqwfUTsWVjWrI03s5HwNGiT\ncx9sZsPkSyFPIiIek3QdsDfwxcKqVwJf6GrrLzEzsxK5DzazFDRuAJw7GThP0nfIpt/5O7Las3+v\nNCszs3ZwH2xmtdbIAXBEfF7SZsBxwLOBHwCvjoj/rTYzM7Pmcx9sZnXXuBpgMzMzM7OpNHEatL4M\n8zKdko6X9GTX7Y4ebW6X9LCkpZK2n0GcPSRdLGlFHuOgSXKZNI6k9SQtkXS3pAclXSRpi9nElXR2\nj+2/poS4x0j6rqT7JK3Mc3jhMLe5n5jD2F5Jh0q6IY97n6RrJL16WNvZb9xh/W175HFM/tpLhr3N\n08Ud1TY3laRPSvpJ/jdbKem/Jb2gq82mks6TtCq/nStpk642z5V0Sf7+3i3pNEnrDiHfTfO/5U15\nzr+Q9HFJz6hrznmst+efiVX5PvrcSbatNjlPsh2VXEK7Rx6VfL/OMueRf0eWkHMl33VANq1R227A\nG4HHgL8BtgU+BjwAbFXS6x8P/Ah4VuG2WWH90cD9wGuBFwIXALcDGw0Y51Vklxr9K7Kzrv+6a/20\ncYBP5MteDuwALAWuB542i7ifBr7atf1zu9rMJO5lwEHA9sCLgP8iu7rUpsPa5j5jlr69wF8Afwps\nA/x+/n4/BvzRkP+208Udyt+26/kvBX5Gdpmijw17f+4j7tC3uck34O3ArsBz8/fmovy9WqfQ5itk\nZRJ/kv8dfghcXFg/J1//P2SXVn5F/hofG0K+LyQ7ee/P88/BHnk+X+1qV5uc83iH55+Rw4Engef2\naFOrnHvkN9Tv5gFzqeT7dZY5j/w7soScK/mui4jWDoC/DZzRtewW4MMlvf7xwA8mWad8hzymsGz9\n/A/89lnEfKD4Ae0nDrAJ8BvgTYU2WwJPAHvPJG6+7GzgkimeM+u4+XM2BH4L/Nmotrk75oi3917g\nbaP623bHHcW25s//CfCyvBP72Cj+tpPFHeXfty034MVkA7Q/yB+/IH+8qNBm1642r8rfzy0Kbd4M\nPMKABw5mmHMn/kZ1zxl4CT0GwHXOuRBrqN/Ns8irku/XEvIe+XdkSXmP5LuudSUQGt2lkrfJD9n/\nTNL5krbOl28NzCvGj4hHgatLjt9PnJ2AdbvarABummUuAewm6S5JN0s6U9LmhfVlxd2YrIzn1/nj\nUWxzd0wY8vZKmiNpf7IP/tUj2s5ecYe+rcCZwBci4museZWCYW/zZHFhdPtz40naEDgYuBW4LV+8\nCHgwIq4tNL2G7KjbLoU2P4qI2wttLgfWI3v/h63zJftwIZ+659yt1jmP8Lu5DFV+vw6iiu/IGRv1\nd10jZ4GYxigulfwtsp8hfkz2xzsOuCavxenE6BX/OSXFp88484EnIuLerjZ3keU9U5eR/YR4G9kO\n/CHgfyTtFBGPlRj3NLKfOTod+ii2uTsmDGl7Jf1hHmc9siMwb4iImyXtUnh+USnbOVncYW5rHvdt\nZD+DFa+N2zG0v+00cWF0+3NjSToE+AjZEamfAq+KiN/mq+cDdxfbR0RIKvbJ81n7b38P2VGeoV7i\nXtJc4IPAmRHxZCGf2uY8ibrnPIrv5rJU+f06iCq+IwdW1XddGwfAQxcRlxUe/lDStWRfngeR/cQz\n6VOHmtiI4kTEBYWHy5VNiv9z4M+AC8uIIelksv/d7Rb5bx7TpTWsmEPc3h+T/Vy8CfB64HOS9pz6\nKaX8bXvGjYjvDWtbJW0L/DPZe/tEZzH9Xat2xtvcT9xR7M+pkfQh4Nhpmi2OiM4vB/9BVkf9HOAo\n4CuSdoyIQS6CPKuLZswgZyRtBFwC/C/w3pmEncFzVj95BjmXwBcnmZ1RfY9PqYrvyFmo5LuudSUQ\nrP7fbPf/DOaR1ZqULiIeBpaTFXh3YvSKf2eJYTuvNVWcO4E5yubrLJpfZi4R8UtgBdn2zzqupFPI\nTpbYKyImCquGts1TxFxLWdsbEY9HxM8i4vqIOJbsl4VD6W8fmvF7PEXcXm3L+tsuIjsCtFzS45Ie\nJzv56BBJj5F9bjvbWDTbbZ4yrnqc/V72/pyoU4Dtprl9t9M4Iu6PiJ9GxNeB15HNDfzafPWdQLGk\nBEkiO9mw+Lft/tt3jhj2+x4PlHM++P0yWY3sn+dH+ztqmfM0RpXzTI38u3kWavP92ksV35GzUdV3\nXRNa8l4AAA78SURBVOsGwHkn1rlMZ9EryeqhSidpfbITEH4ZEbeR/VH27lq/W8nx+4lzHfB4V5st\nyTrV0nLJ6yW3YPXOPOO4kk5j9Qf7lq7VQ9nmaWL2al/a9naZQ3ZW66j/tnOYpK8ocVsvJDtr+Y/y\n20Lge8D5+f1bGc42Txk3Ih4f4jYnKyLujYhbprk9MsnTn0Z2lHFO/vhaYCNJiwptFpGVS3Tev2uA\nF3RNbfRKsrrc68rOWdLTyUpfRHYBj4e7Xq52OfdhJDnPVBXfzbNQm+/XblV8Rw7BaL7rosIzK6u6\nAW8g+0D/DdnA9DSyswrLmgbto2RHkbYmm27mUmBV5/XJfkpbRXYE5EXA58iOKG04YJwNyb6wF5Kd\nyPCP+f2+4wAfJ/t5rzh9yPfJL5IyaNx83UfJpthZACwm63h/UULc04H7gD3J/nfXuRVft9Rtni7m\nsLYX+BeyD/kC4A+BE8mOjrxyyH/bSeMO8287SS7jwJJh/W37iQtsNMptbtoN+D2yaYx2JJsGbRfg\nYrKzvDcvtPsycGP+Pi8im4rrosL6p+Xrr2L19FwrgNOGkPPT87/xD8mO8hc/9+vWMec83vw8zgFk\nR61flT/etK4599iGoX43D5hLJd+vs8x55N+RJeRcyXddRLRzAJy/Ye8g+9/Qo2Q/Ie1W4mufTzYn\n3W/yP9QXgO262rwfuIOs4HspsP0M4izOO7on8x2mc/9T/cYBfodsrsV78g/5RRSmwBk0LtnZm5eR\nFaD/BpjIl29RQtzueJ3bPw3y3g4Se7qYw9pesrlnJ/L98y6yM1xfOazt7CfuMP+2k+SylK75R4ex\nzVPFHfU2N+1GNh3Rlwvv3y+A84Dnd7Wbmy+/L7+dC2zc1WYrsnrch/L3+VQKA9ISc148yef+CWCP\nOuacxzqetfvlJ1hz+q5a5TzJdgztu3mG+8FIv19nmfPIvyNLyLmS77qI8KWQzczMzKxdWlcDbGZm\nZmbt5gGwmZmZmbWKB8BmZmZm1ioeAJuZmZlZq3gAbGZmZmat4gGwmZmZmbWKB8BmZmZm1ioeANuU\nJI1L+ljVebSVpB9Ken8Jr7ONpJWSNp7l63xR0uGzzcfM6k/ShKT3VJ1HPyS9TtKThcdjkh6oMqd+\nSDpL0vGzfI0/kvS/+WWCrU8eALeQpLMlPZnfHpN0l6T/kXSIpHW6mr8GOKbP1z1e0g/Kz3g48sH9\nkqrzmEbkt9n6AHBmRNw/y9f5Z+BYSb9bQk5mjVfob4/rWr44X/6MqnLrQ1n9TxU+B2xd9ovmf7P9\nSnqtbYG/Ak6ZzetExA3A9cC7ysirLTwAbqcAriC7RvjzgFeSXfryBODrxcFNRKyKiIcqydJKIelZ\nwOvJLjk5KxHxfeBu4A2zfS2zlgiyy7z+vaRnlvnCkn6nzNdLQb/bHBGPRsQ9w0qjpNc5BLgkIu4r\n4bXOJbuMtPXJA+B2EvBYRKyMiF9GxI0RcQrZtc93BN77VMOuo6SS9pN0o6SHJd2br3+WpDHgn4AX\nFo4u/3X+nCMl3SDpQUkrJH1S0iaF1xyT9ICkvfKf/B/Mj0gvWCNp6dWSvp3HvkfSxZLWy9f9jqSP\n5D8DPSTpO5L2nvQNkM4G9gAOLeT73HzdHnmcRyTdKelkSetO8VqdIzl75c97SNJ3Je3Q1W4/ST+Q\n9KikX0g6tmv9syRdlG/fhKS39oi1iaQz86P29+fv/06T5ZZ7HfCTiPhp4XU67/k+kn6c53yRpI0l\nvVHSLZJW5Uev1ut6vYuAN00T08xWWwpMAP84VaPp+p788/5xSR+VtJLsgMXL8v5nH0nfz/uPqyVt\nkfdJN+af9YslbVp4rZ0lXS7pbkn3Sfq6pJcOumHT9MubSjpH0q/y9VdI2r7r+dP1ixOS3i/pU5J+\nDZyXL/9rST/P+65LgHldz1ujBEL5L5SS9pf007z/vFDSZv2+J5Im8rtfyN/znxXW7Svpuvxv9zNJ\nH5rqeyP3RuDiHtv7j3nfe3/+nrwhfy8/n/8tb5a0V9drfRnYUtKiaWJazgNge0pELAcuI/tJ5qnF\n+Q1J88l+Vvo0sB3ZAPLcvN3ngH8DbiY7sjwf+Hy+7gngcGB74ADgj4Hu0oP1gH8AxoBFwFzg3zsr\nJe1DNvD6Ktkg/WXA/7B6H/40sDvZwOyFwDnAJZJePMnmHgZcC3yqkO8KSVsAXwGuAxYCf5O/5omT\nvE7Rh8n+87AjcO//b+/8Y7eq6jj+etNUMqNyhYGDL/7AAVLyG5Xv/JGGJImpayvJIqrNVn8o2Spk\niTi1wLaG00Va0QayClpkZaWS4VggqCQF8SP7YguKVoNIUDQ+/fE5D9zO9z73uV/4ulbP57XdPc/9\n3HPPOfc8z30/557z+ZwHWFqo/9jUHsuBkelavyDp04XzFwNnApfhric3AEMKeQj4MTAAmJrqtxpY\nlT6bZlwErC+xnwTMStd3GTAO+D4wHbg21WEa3UcV1gOTJIV+BEFrBBzG7/kbJZ1Zmqi+9nwI1+RO\n4MMcHY2ci0+BTwTeguvNnJTPJbjuFOMJTsF1shMYD2wEfqIeuGTU0OXFKe9puO4fAH6q5KtaUxfB\ndWozMBZ3wZqIa/7XgPPwGcx5tHbXGILPhl0NTAZG425dDVq1ybj0+nH8N2N8uo4rgCXAQvx3biY+\n8HBXs4pIGgb0p1ybbwLWpvp9F2/HZXhn+TzgSWBpcXDCzA4Av8U/g6AOZhZbm234zfRwk2NfAl4s\n7P8CWJjej8GFfHCTc+cCm2qUPwV4qbA/I+U7tGC7PkuzBnioSX5n4Z3sQZn9B8B9FfU4cm0F253A\n1sz2EXwKs2+TfC5J9X93wXZhsg1M+0uBx7LzbgP+mN6fk9JfUDg+GHgV+GLafxewP68H7vv12Yrr\n3ADMy2xlbb4glXdqwfat/LtS+B4MalZmbLHF5lvS2x+m96uAZel9QzdOTfsttQd4AtiYpSnTn08l\n26iC7bYqfcY70ruA6QXbH4BZFedU6fLQVIfOgq0fsBf4WNqv1MW03wWszNI8BPwssz0AHC7szwD2\nF/bnAgeBNxZss4HtPWyTw8C1WbrVwK2Z7X3F8kvyvirl1SezdwFLC/tvSOm+WrB1JNuY7NyVwDf/\n29/5/5UtRnCCHNH8KXoj8BjwG0nLJd2oGj5taRruUbl7wj+AFcAJ2ajly2a2vbC/GzhR0pvT/ijg\n8SZFjEn13pymh/anqa8r8RHVnjAcf/IusgY4ETi7xbnPFd7vTq/90+uwlE+e7+mSTknlHgaeahw0\nsxdw8W0wFjgZ+Gt2nedSfZ39gH+W2PM23wP82cz+ntn6/+dpNALp3kQQBHVojNJ+Dni/pDElaepq\nz9NNyijqz570uimzHbmX5S5Xi9J0+l78vu4PDKq6kIwqXW5o2q8aBvMg3E3pWCNNlS6C/x5tyNIM\nK+abyNuujJ1mVlwZYje90yZjgTmZLi8FTpZ0WpNz+uEafDizG4XP0jwG5wDdP0vors37CV2uTR7x\nHwQjgN+XHUg36uTkEzUZn1q7W9LFZvZc2TmSOvBp+0X4dNzfcLFYhgt7g1fz4tJrnYe0Pin9OOCV\n7NjBGufn5TYLcGg1vVYsu6z+dfKtKqMP8Bd8ei6nanWHffjUXk5Zm+ftZ3T/DBpLqe2tKDMIggwz\nWy9pBTAfuCM/TGuNMKBZUHI3/TGzf2W24r38beBt+HR7F3AI78y+1oF1xUGWunrbW4HYrfTtWNtE\n+Ajz90qONQvE2wecJKlPSSe4rJ6tfl/AtXkPQS1iBLh96dbRkjQSuAL3x2p+otlaM5tnZuPxEcrG\nigCHgNdlyccBJwA3m9k6M9sBnH4M9X0WuLzimIABZvZ8tu1uck6jvvlD4Bbg/ORv26AzpS19MKjJ\nFmBSZuvEp/peBH6H348TGwflQXkDC+mfwQM9rOQ6q6Kdd+BTZr1FBz4isatVwiAIujEbj1eYktlf\nK+1pxiTgXjN7xMy24LNEA3qYR5Uub8E17cKGQb4O+Ujcn7eRpkoXm7EFjxUp0uMAvhLqtMkrdP+d\newYYXqLLz2cPIUV2pNfBvVDvBh3A9papAiA6wO1MX0mnSRooX0R7Fu4TuwG4p5BOaUPS+ZLmSBon\nabCkq/GpoYaYdQEdkkZLeqt8uZpt+PfsZklnSPogHhDXU+7Epw7vkDRC0rmSbpL0ejPbhk83LZZ0\nnfxPH8ZJukXSNRV5dgETJHWk+gq4H+903i9puKSpeBDKvWb20jHUu8FXgIvl0cznSJqOB3bMBzCz\nrXgA4qLUzqNw38EjI9hm9ig+PbhSHvF9hqQLJN0uqWxUuMGTpGCNXmICsKZk1CIIghaYr8bydXyU\nsUgd7Tmix73ANuCGVNZ4PJD5UA/zqNLl7bhP6iJJnZLegQeK7cN9eKGFLlawELhc0uclDZX0Cdzn\n9nip0yZdqey36+iqGvOA65MWj5Q0TP7HHF+uKGsrvqTkhF6oN/LlS0fg/shBDaID3J4Y/tS+G9iJ\n+/W+Fw8+uMjMDmZpG6PFe/Gn+R/hQrEAD65qiNlyfCmWx/FpmA+Y2Sa8wzsLj1CdCdxC9xHosqn/\nIzYzewS4BngP/rT9BEeDPwA+igdszcdHBx7GRxK6KtrhHlzcNuOuBYPMbFcqYzQ+uvENXKxnN8uk\nZv2fxaOPr8N9ue4C7jaz+wrpZ+BBJ6vwH44lJfW/Mh1/AB81/g4ebPKnirqtAM6SlPswl30GdWxX\n4S4sQRC0puwemoePJBY1oo72lOVFTVt+7kzcNerpVM6DVOtl9wLq6fJT+OoF64C+wBQzezmdX0cX\ny8pdh7vgfRL4Nd75nUv170qdtqvTJp8BLgVeSOkws5/jK/Ncmq5zHb4i0M6KazC8gz2tWZoeMhUf\nOc99o4MmyD+DIAj+n5G0BA8AufU48xmLL9U0xHzZnSAIguAYkP8T3DpcT48rpkK+FvJqM1vQK5Vr\nA6IDHARtgHzt0bXA2XYcf4ecAnh+aWYLe61yQRAEbYqkB/GR29uPI4934sHmQ4/TVa+tiA5wEARB\nEARB0FaED3AQBEEQBEHQVkQHOAiCIAiCIGgrogMcBEEQBEEQtBXRAQ6CIAiCIAjaiugAB0EQBEEQ\nBG1FdICDIAiCIAiCtiI6wEEQBEEQBEFb8W+6oeJ6uUvYTQAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x123e9a910>"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "**Caption**: Notice that the distribution is skewed and contains points that outside the nominal river width."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The following step, refines the centerline, but a max_width vector is not yet associated with it."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "weights = True\n",
      "smooth = 1.e-2\n",
      "river_obs.iterate(weights=weights,smooth=smooth)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "iteration 0 maximum coordinate change: 279.979018\n"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Now look at the new centerline (no widths associated)."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# retrieve the centerline coordinates\n",
      "\n",
      "xc, yc = river_obs.get_centerline_xy()\n",
      "\n",
      "figsize(8,8)\n",
      "plot(l2.x/1.e3,l2.y/1.e3,'k.',alpha=0.05)\n",
      "scatter(xc/1.e3,yc/1.e3,c='b',\n",
      "        #c=max_width,\n",
      "        edgecolor='none',alpha=0.4)#,\n",
      "        #vmin=0,vmax=300)\n",
      "xlim(-5,5 )\n",
      "ylim(-10,10);"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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d3d38/Oc/R6cz8NJLm6itXY82svnoaPFUtLnCaUAaFksCeXk1lJUVsnLlnVx+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\nTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x1249c6850>"
       ]
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Now look at the new distribution of points relative to the new centerline:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "figsize(10,5)\n",
      "subplot(1,2,1)\n",
      "hist(river_obs.d,bins=100,log=False)\n",
      "xlabel('Distance to node (m)')\n",
      "ylabel('N observations')\n",
      "grid();\n",
      "subplot(1,2,2)\n",
      "hist(river_obs.n,bins=100,log=False)\n",
      "xlabel('Normal coordinate (m)')\n",
      "ylabel('N observations')\n",
      "grid()\n",
      "tight_layout();"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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7jDHuFEn3S3pU0rWSdm9bv6mk+ZKWS1otaYGk7dvGbC3pAkkr8tv5krbqNGsK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\nCIIgCIIgaCmiARwEQRAEQRC0FP8Ba6MClfZNXREAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x124777250>"
       ]
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "**Caption**: Much nicer! The points are close to the new river centerline."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "In the next step, associate the estimated widths with the new centerline. Notice that this can only be done approximately, since there is no unique one to one mapping."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# These are the old centerline coordinates\n",
      "\n",
      "xw = reaches[0].x\n",
      "yw = reaches[0].y\n",
      "\n",
      "# This step makes the association\n",
      "\n",
      "river_obs.add_centerline_obs(xw,yw,max_width,'max_width')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 17
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Now get the centerline coordinates that could be associated with a max_width and the associated max_width and plot the results."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "xi, yi, wi = river_obs.get_centerline_xyv('max_width')\n",
      "\n",
      "figsize(8,8)\n",
      "plot(l2.x/1.e3,l2.y/1.e3,'k.',alpha=0.05)\n",
      "scatter(xi/1.e3,yi/1.e3,\n",
      "        c=wi,\n",
      "        edgecolor='none',alpha=0.4,\n",
      "        vmin=0,vmax=300)\n",
      "xlim(-5,5 )\n",
      "ylim(-10,10);\n",
      "colorbar(label='Width');"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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AB/2+Jhq4E7hDa72213VKgMuANQN9F/1JcIsBkTUni4e/+zBPRf+dtz9aC40N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\njsXojFBzAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x11e3bd0d0>"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "**Caption**: Not too bad, but notice the widths do not always match the data distribution."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#Compute the center line and associate observations with it\n",
      "\n",
      "In the following step, the new centerline and max_width vector are used to exclude the bad data."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "river_obs.reinitialize()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "636 636 636\n",
        "Centerline initialized\n",
        "Local coordiantes calculated"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n"
       ]
      }
     ],
     "prompt_number": 19
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print 'max_width length:',len(river_obs.max_width)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "max_width length: 891\n"
       ]
      }
     ],
     "prompt_number": 20
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Plot the maximum width along the channel:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "len(river_obs.max_width) == len(river_obs.centerline.x)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 21,
       "text": [
        "True"
       ]
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "figsize(5,5)\n",
      "scatter(river_obs.centerline.x/1.e3,river_obs.centerline.y/1.e3,\n",
      "        c=river_obs.max_width,\n",
      "        edgecolor='none',alpha=0.4,\n",
      "        vmin=0,vmax=300)\n",
      "colorbar(label='Width');"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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JNngqCE0hiAZgsAvchHcXkCugPrASDsFEBCdTjko97fJulvEmp6EsJEnUdqko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\nQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x11e3ccfd0>"
       ]
      }
     ],
     "prompt_number": 22
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "In the following step, the height and true heights are associated with the nodes:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "river_obs.add_obs('htrue',htrue)\n",
      "river_obs.add_obs('h',h)\n",
      "river_obs.load_nodes(['h','htrue'])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 23
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Get some rough statistics of the differences in heights for the data associated with each node:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "hn_mean = N.array(river_obs.get_node_stat('mean','h'))\n",
      "hn_median = N.array(river_obs.get_node_stat('median','h'))\n",
      "hstdn = N.array(river_obs.get_node_stat('stderr','h'))\n",
      "htn = N.array(river_obs.get_node_stat('mean','htrue'))\n",
      "sn = N.array(river_obs.get_node_stat('mean','s'))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 24
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ave = N.mean(hn_mean - htn)*100\n",
      "err = N.std(hn_mean - htn)*100\n",
      "print 'Mean statitics:   average: %.1f cm std: %.1f cm'%(ave,err)\n",
      "\n",
      "ave = N.mean(hn_median - htn)*100\n",
      "err = N.std(hn_median - htn)*100\n",
      "print 'Median statitics: average: %.1f cm std: %.1f cm'%(ave,err)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Mean statitics:   average: 4.8 cm std: 66.8 cm\n",
        "Median statitics: average: 7.5 cm std: 71.6 cm\n"
       ]
      }
     ],
     "prompt_number": 25
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Plot the distances from the points to the nodes, and the cross-river normal coordinate:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "figsize(10,5)\n",
      "subplot(1,2,1)\n",
      "hist(river_obs.d,bins=100,log=False)\n",
      "xlabel('Distance to node (m)')\n",
      "ylabel('N observations')\n",
      "grid();\n",
      "subplot(1,2,2)\n",
      "hist(river_obs.n,bins=100,log=False)\n",
      "xlabel('Normal coordinate (m)')\n",
      "ylabel('N observations')\n",
      "grid()\n",
      "tight_layout();"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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eAJvZqBoaACeZkz0Abh8PgL2vTcnET4KLiFsi4vry/r0R8Y6IeFZEHNfWRJur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\nIiIieiUT4IiIiIjolUyAIyIiIqJXngLnD1wx4/n3xAAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x11e43bbd0>"
       ]
      }
     ],
     "prompt_number": 26
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Plot the river geometry, number of observations per node, height vs true height, and a plot of height vs the reach distance downriver."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "figsize(10,10)\n",
      "subplot(2,2,1)\n",
      "idx = river_obs.populated_nodes\n",
      "plot(river_obs.centerline.x[idx]/1.e3,river_obs.centerline.y[idx]/1.e3,\n",
      "     '.',alpha=0.5)\n",
      "xlabel('x (km)')\n",
      "ylabel('y (km)')\n",
      "subplot(2,2,2)\n",
      "idx = river_obs.populated_nodes\n",
      "plot(river_obs.centerline.s[idx]/1.e3,river_obs.nobs[idx],'o',alpha=0.5)\n",
      "grid()\n",
      "xlabel('Reach (km)')\n",
      "ylabel('Number of observations')\n",
      "subplot(2,2,3)\n",
      "plot(htrue,h,'.',alpha=0.05)\n",
      "plot([-10,60],[-10,60],'--k',alpha=0.5)\n",
      "xlim(-10,60)\n",
      "ylim(-10,60)\n",
      "grid()\n",
      "xlabel('h true (m)')\n",
      "ylabel('h measured (m)')\n",
      "subplot(2,2,4)\n",
      "plot(river_obs.s/1.e3,river_obs.htrue,'.',alpha=0.1)\n",
      "plot(river_obs.s/1.e3,river_obs.h,'.',alpha=0.05)\n",
      "grid()\n",
      "xlabel('Reach (km)')\n",
      "ylabel('Height (m)')\n",
      "tight_layout();"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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zzul8bfi+l7OswaCbbV671tUai7jxFBbClVe62mg/8WIGOCJ2gM6Z4E8Cm1R1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\nx4yJGz90vnAr9UF1dU1EWYW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CY8dTNJ9/sv/OI0tL6utXsnDhF7v8LcW7FCQRUjYBVtUW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YhnjJ9Y4eSz6YLBvgY8Bjjz32fpfwhizruzXej/rejo3Zu1FfURT81m/9Fk8//fQt39ZrOVpf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WmlEyouJUsEyrbH8DMJRBnMbkRU7VrtKpSgTarOhCa41t2nSqHfzYRytRXAE822M32kWh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\n/CdPniwfV6FK28VWsFV6nMM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mSAI8y8O1XIbhkGkyJc1StoItWpUWr/depxf0WKmtCPHW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       "text": [
        "<matplotlib.figure.Figure at 0x11e3e7990>"
       ]
      }
     ],
     "prompt_number": 27
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Plot the true river height averaged over each node, and the measured height, similarly averaged for mean and median averaging. The gray lines are 2 standard errors away from the truth."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "figsize(10,5)\n",
      "subplot(1,2,1)\n",
      "plot(sn/1.e3,htn,'.',alpha=0.1)\n",
      "plot(sn/1.e3,hn_mean,'.',alpha=0.2)\n",
      "plot(sn/1.e3,htn+2*hstdn,'-k',alpha=0.1)\n",
      "plot(sn/1.e3,htn-2*hstdn,'-k',alpha=0.1)\n",
      "xlabel('Reach (km)')\n",
      "ylabel('Height (m)')\n",
      "title('Mean')\n",
      "\n",
      "subplot(1,2,2)\n",
      "plot(sn/1.e3,htn,'.',alpha=0.1)\n",
      "plot(sn/1.e3,hn_median,'.',alpha=0.2)\n",
      "plot(sn/1.e3,htn+2*hstdn,'-k',alpha=0.1)\n",
      "plot(sn/1.e3,htn-2*hstdn,'-k',alpha=0.1)\n",
      "xlabel('Reach (km)')\n",
      "title('Median')\n",
      "ylabel('Height (m)')\n",
      "tight_layout();"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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v4L5l1V2fz0c6nWYoMsREaoI7e+5sbIpLJpN01ZuMV7C0wLHWvRzValU22okt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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x11e4d0b50>"
       ]
      }
     ],
     "prompt_number": 28
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#Final step: fit the truth and measurements over the sub-reaches\n",
      "\n",
      "The fitting algorithm right now implements three different fitting methods, as described in [StatsModels](http://statsmodels.sourceforge.net):\n",
      "\n",
      "* Ordinary Least Squares (OLS)\n",
      "* Weighted Least Squares (WLS)\n",
      "* Robust Linear Models (RLM)\n",
      "\n",
      "The software will eventually incorporate better outlier rejection at the node level. Right now it has tail trimming, but this is not examined in this example.\n",
      "\n",
      "\n",
      "In the first step, initialize the fitting object with the observations:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fit = FitRiver(river_obs)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 29
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## An example\n",
      "\n",
      "Take the reach between 7km and 17km and fit the measured height and the true height using ordinary unweighted least squares:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "smin = 7.e3\n",
      "smax = 17.e3\n",
      "\n",
      "h_ols_results = fit.fit_linear(smin,smax,'h',fit='OLS')\n",
      "yfit_ols = N.dot(fit.X,h_ols_results.params)\n",
      "h = fit.y\n",
      "\n",
      "htrue_ols_results = fit.fit_linear(smin,smax,'htrue',fit='OLS')\n",
      "htrue = fit.y\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 30
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Get the errors in slope and height, convert to suitable units (cm and cm/km) and print:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "herror = (h_ols_results.params[1] - htrue_ols_results.params[1])*100\n",
      "slp_error = (h_ols_results.params[0] - htrue_ols_results.params[0])*1.e5\n",
      "print('Height error: %.1f cm'%herror)\n",
      "print(r'Slope error:  %.1f cm/km'%slp_error)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Height error: -0.5 cm\n",
        "Slope error:  2.1 cm/km\n"
       ]
      }
     ],
     "prompt_number": 31
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Repeat with weighted least squares:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "\n",
      "h_wls_results = fit.fit_linear(smin,smax,'h',fit='WLS')\n",
      "yfit_wls = N.dot(fit.X,h_wls_results.params)\n",
      "\n",
      "htrue_wls_results = fit.fit_linear(smin,smax,'htrue',fit='WLS')\n",
      "\n",
      "herror = (h_wls_results.params[1] - htrue_wls_results.params[1])*100\n",
      "slp_error = (h_wls_results.params[0] - htrue_wls_results.params[0])*1.e5\n",
      "print('Height error: %.1f cm'%herror)\n",
      "print(r'Slope error:  %.1f cm/km'%slp_error)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Height error: -3.2 cm\n",
        "Slope error:  1.3 cm/km\n"
       ]
      }
     ],
     "prompt_number": 32
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Repeat with robust fitting:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "h_rlm_results = fit.fit_linear(smin,smax,'h',fit='RLM')\n",
      "yfit_rlm = N.dot(fit.X,h_rlm_results.params)\n",
      "\n",
      "htrue_rlm_results = fit.fit_linear(smin,smax,'htrue',fit='RLM')\n",
      "herror = (h_rlm_results.params[1] - htrue_rlm_results.params[1])*100\n",
      "slp_error = (h_rlm_results.params[0] - htrue_rlm_results.params[0])*1.e5\n",
      "print('Height error: %.1f cm'%herror)\n",
      "print(r'Slope error:  %.1f cm/km'%slp_error)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Height error: -4.2 cm\n",
        "Slope error:  2.2 cm/km\n"
       ]
      }
     ],
     "prompt_number": 33
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Here is a plot of the three solutions:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "figsize(6,6)\n",
      "plot(fit.s/1.e3,htrue,'-',alpha=0.7,linewidth=2,label='Truth')\n",
      "plot(fit.s/1.e3,h,'o',alpha=0.2)\n",
      "plot(fit.s/1.e3,yfit_ols,'-',linewidth=2,label='OLS')\n",
      "plot(fit.s/1.e3,yfit_wls,'-',linewidth=2,label='WLS')\n",
      "plot(fit.s/1.e3,yfit_rlm,'-',linewidth=2,label='RLM')\n",
      "xlabel('Reach (km)')\n",
      "ylabel('Height (m)')\n",
      "grid()\n",
      "legend(loc='best');"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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Yu3YtN910E1pLVuG6CEpZtIOQTiEkxiaSFJdEYmwinXt2ptfDvRiRNYKYf8Tg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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x11e33d8d0>"
       ]
      }
     ],
     "prompt_number": 34
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "##Fitting multiple reaches\n",
      "\n",
      "Now do a more systematic study: start at 30 km reach, and fit successive 10km reaches, displacing each reach by 2.5km. Gather the results and get some statistics. "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "herror_ols = []\n",
      "herror_wls = []\n",
      "herror_rlm = []\n",
      "slp_error_ols = []\n",
      "slp_error_wls = []\n",
      "slp_error_rlm = []\n",
      "\n",
      "smin = 7.e3\n",
      "delta_s = 10.e3\n",
      "smax = smin + delta_s\n",
      "step = 2.5e3\n",
      "sstop = 45.e3\n",
      "\n",
      "while smax <= sstop:\n",
      "    \n",
      "    h_ols_results = fit.fit_linear(smin,smax,'h',fit='OLS')\n",
      "    htrue_ols_results = fit.fit_linear(smin,smax,'htrue',fit='OLS')\n",
      "    herror = (h_ols_results.params[1] - htrue_ols_results.params[1])*100\n",
      "    slp_error = (h_ols_results.params[0] - htrue_ols_results.params[0])*1.e5\n",
      "    herror_ols.append(herror)\n",
      "    slp_error_ols.append(slp_error)\n",
      "    \n",
      "\n",
      "    h_wls_results = fit.fit_linear(smin,smax,'h',fit='WLS')\n",
      "    htrue_wls_results = fit.fit_linear(smin,smax,'htrue',fit='WLS')\n",
      "    herror = (h_wls_results.params[1] - htrue_wls_results.params[1])*100\n",
      "    slp_error = (h_wls_results.params[0] - htrue_wls_results.params[0])*1.e5\n",
      "    herror_wls.append(herror)\n",
      "    slp_error_wls.append(slp_error)\n",
      "    \n",
      "    h_rlm_results = fit.fit_linear(smin,smax,'h',fit='RLM')\n",
      "    htrue_rlm_results = fit.fit_linear(smin,smax,'htrue',fit='RLM')\n",
      "    herror = (h_rlm_results.params[1] - htrue_rlm_results.params[1])*100\n",
      "    slp_error = (h_rlm_results.params[0] - htrue_rlm_results.params[0])*1.e5\n",
      "    herror_rlm.append(herror)\n",
      "    slp_error_rlm.append(slp_error)\n",
      "    \n",
      "    smin += step\n",
      "    smax += step\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 35
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "**Results for Ordinary Least Squares:**"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print('Number of sub-reaches: %d\\n'%len(herror_ols))\n",
      "herror_ave = N.mean(herror_ols)\n",
      "herror_std = N.std(herror_ols)\n",
      "print('Mean height error: %.1f cm'%herror_ave)\n",
      "print(' STD height error: %.1f cm'%herror_std)\n",
      "\n",
      "slp_error_ave = N.mean(slp_error_ols)\n",
      "slp_error_std = N.std(slp_error_ols)\n",
      "print(' Mean slope error: %.1f cm/km'%slp_error_ave)\n",
      "print('  STD slope error: %.1f cm/km'%slp_error_std)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Number of sub-reaches: 12\n",
        "\n",
        "Mean height error: 4.6 cm\n",
        " STD height error: 3.4 cm\n",
        " Mean slope error: 0.5 cm/km\n",
        "  STD slope error: 1.2 cm/km\n"
       ]
      }
     ],
     "prompt_number": 36
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "**Results for Weighted Least Squares:**"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print('Number of sub-reaches: %d\\n'%len(herror_ols))\n",
      "herror_ave = N.mean(herror_wls)\n",
      "herror_std = N.std(herror_wls)\n",
      "print('Mean height error: %.1f cm'%herror_ave)\n",
      "print(' STD height error: %.1f cm'%herror_std)\n",
      "\n",
      "slp_error_ave = N.mean(slp_error_wls)\n",
      "slp_error_std = N.std(slp_error_wls)\n",
      "print(' Mean slope error: %.1f cm/km'%slp_error_ave)\n",
      "print('  STD slope error: %.1f cm/km'%slp_error_std)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Number of sub-reaches: 12\n",
        "\n",
        "Mean height error: 4.7 cm\n",
        " STD height error: 6.2 cm\n",
        " Mean slope error: 0.2 cm/km\n",
        "  STD slope error: 1.7 cm/km\n"
       ]
      }
     ],
     "prompt_number": 37
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "**Results for Robust Linear Model:**"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print('Number of sub-reaches: %d\\n'%len(herror_rlm))\n",
      "herror_ave = N.mean(herror_rlm)\n",
      "herror_std = N.std(herror_rlm)\n",
      "print('Mean height error: %.1f cm'%herror_ave)\n",
      "print(' STD height error: %.1f cm'%herror_std)\n",
      "\n",
      "slp_error_ave = N.mean(slp_error_rlm)\n",
      "slp_error_std = N.std(slp_error_rlm)\n",
      "print(' Mean slope error: %.1f cm/km'%slp_error_ave)\n",
      "print('  STD slope error: %.1f cm/km'%slp_error_std)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Number of sub-reaches: 12\n",
        "\n",
        "Mean height error: 2.6 cm\n",
        " STD height error: 3.0 cm\n",
        " Mean slope error: 0.3 cm/km\n",
        "  STD slope error: 1.6 cm/km\n"
       ]
      }
     ],
     "prompt_number": 38
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 38
    }
   ],
   "metadata": {}
  }
 ]
}